Professional Data Science & Generative AI Portfolio

Welcome to my Data Science and Generative AI portfolio. This workspace is organized to showcase end-to-end projects, from SQL data extraction and Exploratory Data Analysis (EDA) to Deep Learning and Generative AI implementations.

📁 Project Structure

Projects/
├── data/               # Raw and processed datasets
├── notebooks/          # Jupyter notebooks sorted by project type
├── sql/               # SQL scripts, schemas, and queries
├── src/               # Production-grade source code
├── projects/          # Dedicated folders for individual projects
├── models/             # Saved model weights and binaries
├── reports/            # Analysis and project reports
├── dashboards/         # Visualization dashboard files (PowerBI/Tableau)
├── configs/            # Configuration files
└── tests/              # Unit and integration tests

🚀 Getting Started

1. Environment Setup (Windows)

I have provided a setup_env.bat script to automate the environment creation.

1. Run the setup script:

   setup_env.bat

   This will create a venv, upgrade pip, and install all dependencies.

2. Manual Activation:

   venv\Scripts\activate

2. Installing Dependencies

If you prefer manual installation:

pip install -r requirements.txt

📖 How to Run

Jupyter Notebooks

To explore the analysis and models:

jupyter notebook

Navigate to the notebooks/ folder.

ML Models

Pre-trained models are stored in models/. To run inference scripts:

python projects/03-ml-project/predict.py

Streamlit Application

Interactive dashboards:

streamlit run src/visualization/app.py

FastAPI Backend

To serve models via API:

uvicorn src.main:app --reload

SQL Projects

SQL scripts and schema definitions are located in the sql/ directory. You can execute them using your preferred SQL client or via the sqlalchemy scripts in src/data/.

🛠️ Tech Stack

• Core DS: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn
• Deep Learning: PyTorch, TensorFlow
• Generative AI: Transformers (HuggingFace), OpenAI, LangChain
• SQL: SQLite, MySQL, SQLAlchemy
• Web App: Streamlit, FastAPI

📝 Author

Ravi Soni

• GitHub
• Project Repository